Case Study: How We Increased Basket Sizes By 20% Using Stock Up & Save

Every time we onboard a new client, I personally audit their Instacart account—and in most cases, brands are overlooking one of the highest-leverage tactics on the platform.

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A tactic that:

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  • Increases average basket size so even one shopper can achieve your store’s entire sales velocity target
  • Makes your listings stand out amongst competitors with a high-visibility badge
  • Has zero costs unless it converts
  • Is highly flexible and easy to iterate on.

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The tactic is Stock Up & Save (SUAS).

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SUAS is designed to drive larger basket by incentivizing shoppers to spend more (Spend $X, Save $Y) and is displayed with a prominent yellow badge on your listing. If a retailer promo is active, it will override the SUAS.

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Here’s how we increased the average basket size by 20% for immi.

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Step 1: Determining The Opportunity

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We recommend running SUAS for nearly every brand—but before launching, you should quantify the opportunity. There are two key inputs to evaluate:

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Evaluate Your Baseline (Basket Size)

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Start by underestanding your current performance using the Sales Decomposition report (Insights Center —> Uploaded —> “ICIP: Sales Decomposition” report).

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This report shows:

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  • Your average units per delivery
  • YoY trends
  • The contribution of basket size to revenue growth.

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This gives you a clear baseline of how much room there is to increase basket size, and how impactful it could be to overall revenue.

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Analyze Brand vs Non-Brand Revenue Mix

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Next, determine how much of your revenue is coming from branded vs. non-branded keywords.

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This is critical because it dictates how aggressive your SUAS strategy should be:

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  • High branded revenue → higher thresholds.

‍Shoppers already intend to buy your product, so the goal is to maximize basket size

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  • Lower branded revenue → lower thresholds.

‍New shoppers have less intent, so you need to reduce friction to drive trial

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You can do this by going into your Campaign dashboard —> Click the “Export” button —> All keywords —> Last Touch Attribution. Upload the raw export to our brand vs non-brand analyzer tool here, plug in your brand name, and analyze the data.

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Step 2: Determining The Minimum Redemption Threshold & Savings

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The fee per SUAS redemption ranges from $1.50 to $3.25 per redemption.

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For a SUAS promo, you’re solving for two variables:

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  1. Minimum spend threshold (what shoppers need to spend to unlock the offer)
  2. Savings amount (what they get once they qualify)

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The goal is to increase basket size while staying within your target margin.

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Build a simple margin model that includes the: i) redemption fee, ii) product margin %, iii) SRP (price), and iv) savings amount.

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This allows you to simulate different scenarios and understand margin per order at each unit tier, break-even points, and how aggressive you can be on savings. The goal is to identify the minimum unit threshold that still meets your margin target

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Our approach is usually to start conservative by offering a lower savings amount to start with and higher minimum thresholds. From there you can always optimize and get more aggressive on the offer once you see real redemption data.

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Pro Tip: Since SUAS promos are triggered by a minimum dollar spend (not unit count), you can set the threshold just above the previous unit tier to drive higher basket sizes. For example, if 3 units ≈ $21 and 4 units ≈ $28, set the minimum spend at $22. While it appears like a lower barrier to entry, shoppers will still need to purchase 4 units to qualify—effectively increasing units per order while keeping the promo more psychologically accessible.

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Step 3: Set Up & Launch

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To launch a SUAS promo, go into Library —> Promotions —> Create Promotion Group —> and select Stock Up & Save.

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The goal is to include as many eligible SKUs as possible—prioritizing products that meet or exceed your target margin from Step 2. There’s a strong correlation between # of SKUs in a shopper’s first order and long-term repeat purchase rates. The more products a shopper tries, the higher chance they find a favorite which increases the likelihood of converting them into a repeat, loyal customer.

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Don’t just limit SUAS to your hero SKUs, instead use it to drive multi-SKU trial, increase basket diversity, and to cross-sell into other product lines.

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Step 4: Analyzing Results & Iterating

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The primary metrics you’ll have access to within the dashboard are:

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  • Redemptions Used: # of total promos that were actually redeemed
  • Promotion Sales: Total sales from redeemed orders
  • New To Brand Promotion (NTB) Sales: Sales from New-to-Brand shoppers who redeemed
  • Sales: Total revenue where the promo was eligible (including shoppers who didn’t redeem).

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Note: Sales will often be lower than total platform revenue since not all shoppers are exposed to the promo (eg: retailer promos, or budget constraints)

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Based on the above metrics, here’s the type of analysis you’ll want to do:

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  1. Avg Basket Size Of Redemptions:
    1. Formula: Promotion Sales ÷ Redemptions Used
    2. So What? This tells you how large baskets are when the promo is redeemed
    3. What you’re looking for: If avg basket size is well above your threshold, you’re underpricing the minimum threshold and you can likely increase it.
  2. New To Brand Promotion Sales %:
    1. So What? This tells you understand who the promo is attracting (existing shoppers vs new to brand)
    2. What you’re looking for: If you have high brand keyword searches and have a high minimum threshold, expect lower NTB %. The holy grail is having a high threshold and strong NTB %.
  3. Redemption Rate
    1. Formula: Promotion Sales ÷ Sales
    2. So What? This measures how often shoppers are actually redeeming the offer.
    3. What you’re looking for: You want the highest possible redemption rate within margin constraints. If redemption rates are too low, likely threshold is too high or savings too low.
  4. Item Not Found Rate:
    1. Path: Go into Insights Centre —> Uploaded —> Item Not Found report.
    2. So What? As you push higher unit thresholds, you increase the risk of stockouts per order.
    3. What you’re looking for: If your item not found rate spikes or is rising, you may be pushing basket size beyond available shelf inventory.

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Based on the above analysis, use these signals to refine your promo:

  • Low redemption rate? Increase savings or lower threshold
  • Redemption basket size much larger than minimum threshold? Likely room to increase minimum threshold for better margins
  • Low NTB% but high redemption rates? Offer is maximizing basket size of loyal shoppers & shoppers who were likely to purchase regardless
  • High NTB% and high redemption rate? This promo should be a priority and should have a dedicated evergreen budget assigned to it
  • High item not found rate? Reduce threshold or tighten SKU selection

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Key Takeaways

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SUAS is not a “set it and forget it” promo, it should be a highly iterative process where you start conservative and optimize based on the results until you find the sweet spot between basket size, redemption rate, and margins.

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When done right, a single shopper can meaningfully contribute to store velocity, making Instacart disproportionally valuable despite the platform representing a smaller share of total shoppers.